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    Rights statement: This is the author’s version of a work that was accepted for publication in Computers & Security. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Security, 85, 2019 DOI: 10.1016/j.cose.2019.05.006

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BEST: Blockchain-based Secure Energy Trading in SDN-enabled Intelligent Transportation System

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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BEST: Blockchain-based Secure Energy Trading in SDN-enabled Intelligent Transportation System. / Chaudhary, Rajat; Jindal, Anish; Aujla, Gagangeet Singh et al.
In: Computers and Security, Vol. 85, 01.08.2019, p. 288-299.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Chaudhary, R, Jindal, A, Aujla, GS, Aggarwal, S, Kumar, N & Choo, K-KR 2019, 'BEST: Blockchain-based Secure Energy Trading in SDN-enabled Intelligent Transportation System', Computers and Security, vol. 85, pp. 288-299. https://doi.org/10.1016/j.cose.2019.05.006

APA

Chaudhary, R., Jindal, A., Aujla, G. S., Aggarwal, S., Kumar, N., & Choo, K-K. R. (2019). BEST: Blockchain-based Secure Energy Trading in SDN-enabled Intelligent Transportation System. Computers and Security, 85, 288-299. https://doi.org/10.1016/j.cose.2019.05.006

Vancouver

Chaudhary R, Jindal A, Aujla GS, Aggarwal S, Kumar N, Choo K-KR. BEST: Blockchain-based Secure Energy Trading in SDN-enabled Intelligent Transportation System. Computers and Security. 2019 Aug 1;85:288-299. Epub 2019 May 16. doi: 10.1016/j.cose.2019.05.006

Author

Chaudhary, Rajat ; Jindal, Anish ; Aujla, Gagangeet Singh et al. / BEST: Blockchain-based Secure Energy Trading in SDN-enabled Intelligent Transportation System. In: Computers and Security. 2019 ; Vol. 85. pp. 288-299.

Bibtex

@article{3cd65b17d49d450b80677e1331b0f220,
title = "BEST: Blockchain-based Secure Energy Trading in SDN-enabled Intelligent Transportation System",
abstract = "Tactile Internet is a fairly recent technological trend associated with the Internet-of-Things (IoT) era, with potential applications in a broad range of industrial, societal and business use cases. The real-time machine-to-machine and human-to-machine interactions (e.g., in unmanned vehicles and the underpinning infrastructure within the smart city ecosystem) in the intelligent transportation sector, for example, contribute to the potential utility of Tactile Internet in this particular sector (and the broader smart city). In the context of unmanned vehicles, such as unmanned aerial vehicles and electric (ground) vehicles, one of several key challenges to its broader utility is how to design a secure energy trading ecosystem that can be used for purposes such as charging and discharging from the supporting smart grids. Most existing approaches in the literature focused on conventional and centralized security mechanisms, which may not be applicable for energy trading in a smart city environment. Moreover, the need for real-time processing for energy trading computation is one of the essential requirements of Tactile Internet. Therefore, to address these challenges, BEST: a Blockchain-based secure energy trading scheme for electric vehicles (EVs) is proposed in this paper. Specifically, in BEST, blockchain is used to validate EVs{\textquoteright} requests in a distributed manner; thus, ensuring resilience against the single point of failure. The miner nodes are selected to validate the requests on the basis of energy requirements, time of stay, dynamic pricing, and connectivity record, as well as other factors that are crucial for the operator at the time of operation. Moreover, to provide low latency and real-time services, software-defined networking is used as the network{\textquoteright}s backbone to transfer EVs{\textquoteright} requests to a global software defined network controller. Finally, BEST is evaluated on the basis of the communication and computation costs incurred during various transactions between the EVs and the smart grid. A case study is also provided to demonstrate the potential deployment of BEST in energy trading.",
keywords = "Blockchain, Energy trading, Software-defined networking, Intelligent transportation system, Smart city, Smart nation, Tactile Internet, 5G",
author = "Rajat Chaudhary and Anish Jindal and Aujla, {Gagangeet Singh} and Shubhani Aggarwal and Neeraj Kumar and Choo, {Kim-Kwang Raymond}",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Computers & Security. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Security, 85, 2019 DOI: 10.1016/j.cose.2019.05.006",
year = "2019",
month = aug,
day = "1",
doi = "10.1016/j.cose.2019.05.006",
language = "English",
volume = "85",
pages = "288--299",
journal = "Computers and Security",
issn = "0167-4048",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - BEST: Blockchain-based Secure Energy Trading in SDN-enabled Intelligent Transportation System

AU - Chaudhary, Rajat

AU - Jindal, Anish

AU - Aujla, Gagangeet Singh

AU - Aggarwal, Shubhani

AU - Kumar, Neeraj

AU - Choo, Kim-Kwang Raymond

N1 - This is the author’s version of a work that was accepted for publication in Computers & Security. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Security, 85, 2019 DOI: 10.1016/j.cose.2019.05.006

PY - 2019/8/1

Y1 - 2019/8/1

N2 - Tactile Internet is a fairly recent technological trend associated with the Internet-of-Things (IoT) era, with potential applications in a broad range of industrial, societal and business use cases. The real-time machine-to-machine and human-to-machine interactions (e.g., in unmanned vehicles and the underpinning infrastructure within the smart city ecosystem) in the intelligent transportation sector, for example, contribute to the potential utility of Tactile Internet in this particular sector (and the broader smart city). In the context of unmanned vehicles, such as unmanned aerial vehicles and electric (ground) vehicles, one of several key challenges to its broader utility is how to design a secure energy trading ecosystem that can be used for purposes such as charging and discharging from the supporting smart grids. Most existing approaches in the literature focused on conventional and centralized security mechanisms, which may not be applicable for energy trading in a smart city environment. Moreover, the need for real-time processing for energy trading computation is one of the essential requirements of Tactile Internet. Therefore, to address these challenges, BEST: a Blockchain-based secure energy trading scheme for electric vehicles (EVs) is proposed in this paper. Specifically, in BEST, blockchain is used to validate EVs’ requests in a distributed manner; thus, ensuring resilience against the single point of failure. The miner nodes are selected to validate the requests on the basis of energy requirements, time of stay, dynamic pricing, and connectivity record, as well as other factors that are crucial for the operator at the time of operation. Moreover, to provide low latency and real-time services, software-defined networking is used as the network’s backbone to transfer EVs’ requests to a global software defined network controller. Finally, BEST is evaluated on the basis of the communication and computation costs incurred during various transactions between the EVs and the smart grid. A case study is also provided to demonstrate the potential deployment of BEST in energy trading.

AB - Tactile Internet is a fairly recent technological trend associated with the Internet-of-Things (IoT) era, with potential applications in a broad range of industrial, societal and business use cases. The real-time machine-to-machine and human-to-machine interactions (e.g., in unmanned vehicles and the underpinning infrastructure within the smart city ecosystem) in the intelligent transportation sector, for example, contribute to the potential utility of Tactile Internet in this particular sector (and the broader smart city). In the context of unmanned vehicles, such as unmanned aerial vehicles and electric (ground) vehicles, one of several key challenges to its broader utility is how to design a secure energy trading ecosystem that can be used for purposes such as charging and discharging from the supporting smart grids. Most existing approaches in the literature focused on conventional and centralized security mechanisms, which may not be applicable for energy trading in a smart city environment. Moreover, the need for real-time processing for energy trading computation is one of the essential requirements of Tactile Internet. Therefore, to address these challenges, BEST: a Blockchain-based secure energy trading scheme for electric vehicles (EVs) is proposed in this paper. Specifically, in BEST, blockchain is used to validate EVs’ requests in a distributed manner; thus, ensuring resilience against the single point of failure. The miner nodes are selected to validate the requests on the basis of energy requirements, time of stay, dynamic pricing, and connectivity record, as well as other factors that are crucial for the operator at the time of operation. Moreover, to provide low latency and real-time services, software-defined networking is used as the network’s backbone to transfer EVs’ requests to a global software defined network controller. Finally, BEST is evaluated on the basis of the communication and computation costs incurred during various transactions between the EVs and the smart grid. A case study is also provided to demonstrate the potential deployment of BEST in energy trading.

KW - Blockchain

KW - Energy trading

KW - Software-defined networking

KW - Intelligent transportation system

KW - Smart city

KW - Smart nation

KW - Tactile Internet

KW - 5G

U2 - 10.1016/j.cose.2019.05.006

DO - 10.1016/j.cose.2019.05.006

M3 - Journal article

VL - 85

SP - 288

EP - 299

JO - Computers and Security

JF - Computers and Security

SN - 0167-4048

ER -